The car-sharing system is a popular rental model for cars in shared use. It has become particularly attractive due to its flexibility; that is, the car can be rented and returned anywhere within one of the authorized parking slots. The main objective of this research work is to predict the car usage in parking stations and to investigate the factors that help to improve the prediction. Thus, new strategies can be designed to make more cars on the road and fewer (...) in the parking stations. To achieve that, various machine learning models, namely vector autoregression, support vector regression, eXtreme gradient boosting, k-nearest neighbors, and deep learning models specifically long short-time memory, gated recurrent unit, convolutional neural network, CNN-LSTM, and multilayer perceptron, were performed on different kinds of features. These features include the past usage levels, Chongqing’s environmental conditions, and temporal information. After comparing the obtained results using different metrics, we found that CNN-LSTM outperformed other methods to predict the future car usage. Meanwhile, the model using all the different feature categories results in the most precise prediction than any of the models using one feature category at a time. (shrink)

The web is being loaded daily with a huge volume of data, mainly unstructured textual data, which increases the need for information extraction and NLP systems significantly. Named-entity recognition task is a key step towards efficiently understanding text data and saving time and effort. Being a widely used language globally, English is taking over most of the research conducted in this field, especially in the biomedical domain. Unlike other languages, Arabic suffers from lack of resources. This work presents a BERT-based (...) model to identify biomedical named entities in the Arabic text data that investigates the effectiveness of pretraining a monolingual BERT model with a small-scale biomedical dataset on enhancing the model understanding of Arabic biomedical text. The model performance was compared with two state-of-the-art models, and it outperformed both models with 85% F1-score. (shrink)

Context. Social media platforms such as Facebook and Twitter carry a big load of people’s opinions about politics and leaders, which makes them a good source of information for researchers to exploit different tasks that include election predictions. Objective. Identify, categorize, and present a comprehensive overview of the approaches, techniques, and tools used in election predictions on Twitter. Method. Conducted a systematic mapping study on election predictions on Twitter and provided empirical evidence for the work published between January 2010 and (...) January 2021. Results. This research identified 787 studies related to election predictions on Twitter. 98 primary studies were selected after defining and implementing several inclusion/exclusion criteria. The results show that most of the studies implemented sentiment analysis followed by volume-based and social network analysis approaches. The majority of the studies employed supervised learning techniques, subsequently, lexicon-based approach SA, volume-based, and unsupervised learning. Besides this, 18 types of dictionaries were identified. Elections of 28 countries were analyzed, mainly USA and Indian elections. Furthermore, the results revealed that 50% of the primary studies used English tweets. The demographic data showed that academic organizations and conference venues are the most active. Conclusion. The evolution of the work published in the past 11 years shows that most of the studies employed SA. The implementation of SNA techniques is lower as compared to SA. Appropriate political labelled datasets are not available, especially in languages other than English. Deep learning needs to be employed in this domain to get better predictions. (shrink)

ObjectiveTo investigate the characteristics of response inhibition of overweight/obese people, using behavior experiments combine with neural electrophysiological technology and discussing the difference in impulse level between obesity/overweight and normal-weight people through EEG data, questionnaire, and behavior experiment.Method All participants completed the Go/Nogo task; meanwhile, behavior data and 64 channel EEG data were recorded. Participants completed the Stop-Signal task and behavior date was recorded.Results During Go/Nogo task, no significant differences were found in reaction time, omission errors of the Go task between (...) the two groups, while commission errors of the Nogo task of the control group were significantly greater than the overweight/obesity group. About SSRT during the Stop-Signal Task, the interaction of stimulus type and group was significant. No significant differences were found between the two groups in amplitude and latency of N2. About the amplitude of P3, the interaction of task type, electrode point, and groups were significant, the control group P3 amplitude was significantly greater than overweight/obesity group during the Nogo task. Regarding about latency of P3, the interaction of group and electrode point were not significant, but the main effect of task type was significant.Conclusion In terms of behavioral outcomes, overweight–obese subjects had lower dominant response inhibition and response cessation compared to normal-weight subjects. In terms of EEG results, overweight–obese subjects showed no difference in processing speed and level of conflict monitoring for early inhibitory processing compared to normal-weight subjects, but there was a deficit in behavioral control for late inhibitory processing. (shrink)

Juan yi. Quan qiu hua zhong de Zhongguo gu dai zhe li -- juan er. Ru jia zai lin de yun yi yu dao lu.

People are ingesting various information from different sense organs all the time to complete different cognitive tasks. The brain integrates and regulates this information. The two significant sensory channels for receiving external information are sight and hearing that have received extensive attention. This paper mainly studies the effect of music and visual-auditory stimulation on electroencephalogram of happy emotion recognition based on a complex system. In the experiment, the presentation was used to prepare the experimental stimulation program, and the cognitive neuroscience (...) experimental paradigm of EEG evoked by happy emotion pictures was established. Using 93 videos as natural stimuli, fMRI data were collected. Finally, the collected EEG signals were removed with the eye artifact and baseline drift, and the t-test was used to analyze the significant differences of different lead EEG data. Experimental data shows that, by adjusting the parameters of the convolutional neural network, the highest accuracy of the two-classification algorithm can reach 98.8%, and the average accuracy can reach 83.45%. The results show that the brain source under the combined visual and auditory stimulus is not a simple superposition of the brain source of the single visual and auditory stimulation, but a new interactive source is generated. (shrink)

To grasp the truth in traditional Chinese classics, we need to uncover the long obscured "xiang" 象 (image) thinking, which has long been overshadowed by Occidentalism, "xiang thinking" is the most fundamental thought of human beings. The logic of linguistics all comes from "xiang thinking". Through conceptual thinking, people can understand Western classics on metaphysics, yet they may not completely understand the various schools of Chinese classics. The difference between Chinese and Western ways of thinking originated in the difference of (...) the basic views developed in the "Axial period". Since Aristotle, Western metaphysical ideas have all been manifested in substantiality, objectivity, and being ready-made, whereas Chinese Taiji, Dao, Xin-xing, and Zen were manifested in the non-substantiality, non-objectivity, and non-ready-made-ness of a dynamic whole. To grasp substance, rational and logical thinking such as definition, judgment, and reasoning is necessary. On the other hand, to grasp Taiji, Dao, etc., which is a dynamic whole or non-substances, "xiang thinking", which is related to perception and rich in poetic association, is essential. History has taught us a lesson, i.e., when we opened the window to logical thought, we closed that of "xiang thinking". We should remember the words of Xu Guangqi, i.e., "To mingle harmoniously and understand thoroughly so as to excel". /// 重新打开被西方中心论长期遮蔽的 "象思维" 是把握中国传统经典本真的 需要。"象思维" 是人类最本原的思维。语言逻辑部经过 "象思维" 孕育而产生。 用概念思维可以透彻解读西方形上学经典，却未必能透彻解读中国诸家经典。中西 两种思维的不同，源于在 "轴心时期" 产生的基本理念的不同。西方形上学理念从 亚里士多德以降均为不同实体，显示为实体性、对象性、现成性。而中国的太极、 道、心性、禅则显示为动态整体的非实体性、非对象性、非现成性。把握实体，需 要用理性的、逻辑的概念思维，如定义、判断、推理等。而把握动态整体或非实体 的太极、道等，则需要用悟性的、诗意联想的 "象思维"。历史的经验教训是:在我 们打开逻辑概念思维这扇窗户时，却错误地关闭了 "象思维" 这扇窗户。我们应记 住徐光启的箴言 "会通以超胜"。. (shrink)

The concept of right or fit is an important element entailed, but not fully articulated, in the concept of action or practice in Aristotle's theory of virtue; which, however, turns to be of the utmost importance in later Western ethics. Right is concerned with both feelings and actions, and is not the same for all individuals. It lies in between the two extremes of the spectrum of practical affairs, yet by no means equidistant from them. This account of the concept (...) of fitness or right is derived from the categories of quantity, relationship, and quality rather than from that of substance. Thus, it seems that virtue is relative to vice or error within a continuous existence. If, however, the right of passion and action is environmental and concrete, is it multiple and not singular? To this question, Aristotle gives his reply on two levels: On the level of concrete practitioners, what is right and fit to one man might not be so to another man, and hence the right of practice is not singular but multiple; whereas on the level concerned with the only right choice compared with the two extremes or errors, the right of practice will always be singular. /// "正确"是隐含于亚里士多德的德性学说中的一个重要而未充分展开的，在 后来的西方伦理学中却变成极为重要的关于行为或实践的概念。"正确"与感情和 行为都相关。"正确"并不是对所有人同样的。它是两端间的那个中间，但井不始 终与两端距离相等。对适度或正确的这种说明基本上是从数量、关系与性质范畴引 出，而不是从实体范畴引出的述说。所以，德性似乎始终是在一种有连续性的存在 中相对于恶或错误而言的。感情与行为的正确如果是环境的、具体的，它是否是多 而不是一?亚里士多德在两个层面上回答这个问题。在相对于具体实践者的层面， 对我而言的适度或正确很可能不同于对你而言的，实践的正确不是一而是多:在相 对于两端或错误唯有一个正确的选择而言，实践的正确始终只是一。. (shrink)

Early in Aristotle's terminology, and ever since, "essence" has been conceived as having two meanings, namely "universality" and "individuality". According to the tradition of thought that has dominated throughout the history of Western philosophy, "essence" unequivocally refers to "universality". As a matter of fact, however, "universality" cannot cover Aristotle's definition and formulation of "essence": Essence is what makes a thing "happen to be this thing." "Individuality" should be the deep meaning of "essence". By means of an analysis of some relevant (...) Western thoughts and a review of cultural realities, it can be concluded that the difference between the attitudes toward things of the natural sciences and the humane sciences mainly lies in the fact that the former focus on the pursuit of universal regularity, whereas the latter go after the value and significance of human life. The movement from natural things to cultural things is a process in which essence shifts from universality to individuality. It is the author's contention that what should be stressed in the fields of human culture and society is the construction of an ideal society that is "harmonious yet not identical", on the basis of respecting and developing individual peculiarity and otherness. /// "本质" 最早在亚里士多德的用语中包含有两重含义: 是指 "普遍的东 西" ("共相")，一是指 "个体的东西" ("这个")。在西方哲学史上民期占统治 地位的思想片面地认为: "本质" 就是指 "普遍的东西"。但实际上"普遍的东 西" 并不能涵盖亚里士多德对 "本质" 的界定和表述t 本质是使一事物 "恰恰地是 这个事物"的东西。"本质" 的深层含义应是 "个体性"。通过对西方一些相关思 想观点的分析和文化现实的考察，可以得出结论z 自然科学与人文科学对待事物的 态度的区别在于z 前者重普遍性规律的追求，后者重个体性的人生价值意义的追求。 从自然物到文化物是一个由以普遍性为本质到以个体性为本质的转化过程。在人文 社会领域应该强调的是z 在尊重和发扬个人的独特性和差异性的基础上，建立 "和而 不同"的理想社会。. (shrink)

Extreme events, which are usually characterized by generalized extreme value models, can exhibit long-term memory, whose impact needs to be quantified. It was known that extreme recurrence intervals can better characterize the significant influence of long-term memory than using the GEV model. Our statistical analyses based on time series datasets following the Lévy stable distribution confirm that the stretched exponential distribution can describe a wide spectrum of memory behavior transition from exponentially distributed intervals to power-law distributed ones, extending the previous (...) evaluation of the stretched exponential function using Gaussian/exponential distributed random data. Further deviation and discussion of a historical paradox are also provided, based on the theoretical analysis of the Bayesian law and the stretched exponential distribution. (shrink)

This essay reveals five points in which Heidegger misreads Hegel in "Hegel's Concept of Experience": (1) By forcedly introducing the concept of "will", he interprets Hegel's phenomenology of spirit into Metaphysics of Presence; (2) interprets concepts such as "statement" and "the road of skeptics" as the process of phenomenological reduction; (3) reduces Hegel's Sein to Seiende; (4) replaces "Contradiction" with "Ambiguity" so the active Dialectics become passive; (5) exaggerates conscious experience and puts it into a real ontology, regardless of the (...) significance of Logic and Encyclopedia of Philosophy. By an analysis of this misreading we can find the internal connection between Heidegger's thought and that of his philosophical forerunner, Hegel. /// 在"黑格尔的经验概念"一文中，海德格尔对黑格尔有五个方面的有意误读: (1)用强行引入的"意志"概念将黑格尔的精神现象学解释为在场的形而上学;(2) 将黑格尔的"陈述"、"怀疑之路"等概念解释为现象学还原的程序(3) 将黑格 尔的"存在(Sein) "贬为仅仅是指"存在者(4) 将"矛盾"置换为"模棱两 可使黑格尔的辩证运动从主动变为被动(5) 将意识的经验夸大为真正的本体 论，无视《逻辑学》和《哲学百科全书》的意义。通过分析这样的误i卖，有助于我 们了解海德格尔和黑格尔思想之间的内在联系。. (shrink)

ObjectiveType 2 diabetes mellitus (T2DM) is a high risk of cognitive decline and dementia, but the underlying mechanisms are not yet clearly understood. This study aimed to explore the functional connectivity (FC) and topological properties among whole brain networks and correlations with impaired cognition and distinguish T2DM from healthy controls (HC) to identify potential biomarkers for cognition abnormalities.MethodsA total of 80 T2DM and 55 well-matched HC were recruited in this study. Subjects’ clinical data, neuropsychological tests and resting-state functional magnetic resonance (...) imaging data were acquired. Whole-brain network FC were mapped, the topological characteristics were analyzed using a graph-theoretic approach, the FC and topological characteristics of the network were compared between T2DM and HC using a general linear model, and correlations between networks and clinical and cognitive characteristics were identified. The support vector machine (SVM) model was used to identify differences between T2DM and HC.ResultsIn patients with T2DM, FC was higher in two core regions [precuneus/posterior cingulated cortex (PCC)_1 and later prefrontal cortex_1] in the default mode network and lower in bilateral superior parietal lobes (within dorsal attention network), and decreased between the right medial frontal cortex and left auditory cortex. The FC of the right frontal medial-left auditory cortex was positively correlated with the Montreal Cognitive Assessment scales and negatively correlated with the blood glucose levels. Long-range connectivity between bilateral auditory cortex was missing in the T2DM. The nodal degree centrality and efficiency of PCC were higher in T2DM than in HC (P < 0.005). The nodal degree centrality in the PCC in the SVM model was 97.56% accurate in distinguishing T2DM patients from HC, demonstrating the reliability of the prediction model.ConclusionFunctional abnormalities in the auditory cortex in T2DM may be related to cognitive impairment, such as memory and attention, and nodal degree centrality in the PCC might serve as a potential neuroimaging biomarker to predict and identify T2DM. (shrink)

In this paper, the West, "Mao Zedong study" some scholars exaggerate the impact of traditional culture of Mao Zedong, Marxist Philosophy in China as "Confucianism" point of view, by focusing on traditional Chinese philosophy of Mao Zedong and the creative transformation of the absorption of specific analysis, reveals the philosophy of Mao Zedong's cultural identity. On this basis, that: exaggerate the impact of traditional culture of Mao Zedong, Mao Zedong's philosophy of originality exaggerated and its Marxist philosophy dissimilarity between, in (...) fact, is a fragmented Marxism-Leninism Mao Zedong Thought, to the historical development, see also Marxism is not a continuous open system, which also reduces Marxism in China's cultural significance, does not help us to correctly understand and grasp the philosophy of Mao Zedong's cultural identity. In response to some western Maoist scholars who overstate the role of traditional Chinese cultural ingredients in the ideology of Mao and attribute the development of Marxism in China totally to the process of "Confucianization", the essay aims at revealing the cultural characteristics of Mao's philosophy by way of a detailed analysis of Mao's indebtedness to and innovation of traditional Chinese philosophy. Furthermore, the essay holds that various overstatements of the role that traditional Chinese culture has played in Mao Ze-dong's idea and of the discrepancy between Maoist philosophy and Marxist philosophy mean to cut off the connection between Marx-Leninism and Mao's thought. In consequence they overlook the openness of Marxism, and degrade the significance of the development of Marxism in China and also prevent us from understanding the dual influence of Mao's philosophy. (shrink)

This study aims to explore the role of digital education in the development of skills and employability for engineering students through researching the role of big data analytics courses. The empirical study proposes the hypothesis that both soft and hard skills have positive effects on human capital, individual attributes, and the career development dimensions of engineering students. This is achieved through constructing a framework of three dimensions of engineering students’ employability and two competency development dimensions of big data analytics courses. (...) A questionnaire survey was conducted with 155 college engineering students and a structural equation model was used to test the hypotheses. The results found that courses on big data analytics have a positive impact on engineering students’ abilities in both hard skills and soft skills dimensions, while soft skills have a more significant impact on engineering students’ employability. The study has practical and theoretical implications that further enriches the knowledge base on engineering education and broadens our understanding of the role of digitalization in enhancing the skills and employability of engineering students. (shrink)

Objectives: The corona virus disease-2019 pandemic spread globally, and we aimed to investigate the psychosocial impact on healthcare workers in China during the pandemic.Methods: In this systematic review and meta-analysis, we searched seven electronic databases for cross-sectional studies on psychosocial impact on HWs in relation to COVID-19 from January 1, 2020 to October 7, 2020. We included primary studies involving Chinese HWs during the pandemic, and data were extracted from the published articles. Our primary outcome was prevalence of anxiety, depression, (...) and stress disorders. We pooled prevalence value with their 95% confidence interval using random effect models and assessed study quality on the basis of an 11-item checklist recommended by the Agency for Healthcare Research and Quality. The study protocol was registered in PROSPERO.Results: We identified 25 articles comprising a total of 30,841 completed questionnaires and 22 studies for meta-analysis. The prevalence of anxiety, depression, and stress disorders was 34.4%, 31.1%, and 29.1% for HWs. The pooled prevalence of anxiety disorders for HWs from late January to early February was 46.4%, significantly higher than those in mid-term February and after late February. The pooled prevalence of depression disorders for HWs from late January to early February was 46.5%, significantly higher than those in mid-term February and after late February. HWs working in Hubei Province had a higher prevalence of anxiety and a lower prevalence of depression than those working in other regions. Nurses had a higher prevalence of anxiety and depression than other HWs.Conclusions: About one-third of HWs in China suffered anxiety, depression, and stress at the early epidemic of COVID-19. HWs in Hubei Province, especially nurses, had a higher prevalence of psychological disorders. During the pandemic, a negative psychological state may persist in a proportion of Chinese HWs, fluctuating with the control of the pandemic. The long-term impact should continue to be observed. Attention should be paid to HWs for their psychological impact due to the pandemic.Systematic Review Registration: The study protocol was registered with PROSPERO. (shrink)

Levinas subverts the traditional "ontology-epistemology," and creates a "realm of difference," the realm of "value," "ethic," and "religion," maintaining that ethics is real metaphysics. According to him, it is not that "being" contains the "other" but the other way round. In this way, the issues of ethics are promoted greatly in the realm of philosophy. Nonetheless, he does not intend to deny "ontology" completely, but reversed the relationship between "ontology (theory of truth)" and "ethics (axiology)," placing the former under the (...) "constraint" of the latter. Different from general empirical science, philosophy focuses more on issues irrelevant to ordinary empirical objects; it does have "objects," though. More often than not, the issues of philosophy cannot be conceptualized into "propositions"; nevertheless, it absolutely has its "theme." As a discipline, philosophy continuously takes "being" as its "theme" and "object" of thinking. The point is that this "being" should not be understood as an "object" completely. Rather, it is still a "theme-subject." In addition to an "object," "being" also manifests itself in an "attribute" and a kind of "meaning" as well. In a word, it is the temporal, historical, and free "being" rather than "various beings" that is the "theme-subject" of philosophy. /// 列维纳斯颠覆了传统的 "存在论一知识论" 开创了一个 "异域", 即 "价 值"、"伦理" 和 "宗教" 的领域，强调伦理学才是形而上学。不是 "存在" 包容 了 "他者" 而是 "他者" 包容了"存在"。伦理学问题得到了哲学上大幅度的提 升。他不是完全否定 "存在论" 而是把 "存在论一真理论" 和 "价值论→仓理学" 的关系颠倒了过来，将前者置于后者的 "制约" 之下。哲学作为一门学科，仍以 "存 在" 为研究主题与思考 "对象", 只是这个 "存在" 作为 "对象" 并非完全在 "客 体" 意义上来理解，而仍是一个 "主题一主体", 该存在不仅展示为一物，展示为 一 "属性", 而且展示为一种 "意义"。作为哲学 "主题一对象" 的不是 "诸存在 者", 而是 "时间性的一历史性的一自由的" "存在"。. (shrink)

Colleges and universities are in an important position to train builders and successors of the socialist cause whilst promoting quality education. Mental health education is an important foundation and condition for comprehensively improving students' overall quality. This research explores adjustment methods for college students' mental health based on virtual reality under the background of positive psychology. It discusses the importance of system requirements analysis in the software development process, analyzes the system's functional requirements, safety requirements, and software and hardware requirements, (...) and uses the Apriori algorithm to explore the influencing factors of college students' mental health. Based on the system engineering method and using the data mining clustering method undertake detailed analysis and research on the mental health of college students, it then designs an anomaly mining algorithm based on clustering to quickly find anomalous data health problems. The interface design of the system is concise and the operation is simple. Users can conveniently input, query, and count information according to the various controls on the interface, which fully embodies human-oriented characteristics. Exploration of the characteristics of students' frequent Internet access ensures the efficiency, accuracy, and comprehensiveness of the evaluation and consultation work, facilitating psychological counseling for teachers and students, and saving paper. By establishing a data mining model, mining the database, and learning about different student groups and their respective characteristics, we discuss our research on student psychology and summarize the mental health status and gender, adaptation and anxiety, introversion, emotionality, and calmness of college students. We also consider the relationship between sex, negative, and courage. Using positive psychology theory, we examine the positive experiences of students and interconnected qualities, to build a mental health practice system. In the experiment, the happiness index evaluation of the virtual reality treatment system group was significant, P = 0.002 < 0.05. Mental health education plays an important role in cultivating the healthy psychology of college students, developing their psychological potential, enhancing their adaptability, and improving their personality. This analysis based on actual data provides a reliable basis for psychological educators to improve the efficiency and effectiveness of school psychological counseling and to facilitate schools in establishing new methods of early prevention and intervention for psychological disorders, enabling institutions to create a healthy atmosphere for college students. (shrink)

In this article, the dynamical behaviors of two classes of chaotic systems are considered based on generalized Lyapunov function theorem with integral inequalities. Explicit estimations of the ultimate bounds are derived. The results presented in this article contain the existing results as special cases. Computer simulation results show that the proposed method is effective. © 2014 Wiley Periodicals, Inc. Complexity 21: 363–369, 2015.

The cultural element is the minimum unit of a cultural system. The systematic categorizing, organizing, and retrieval of the traditional Chinese cultural elements are essential prerequisites for the realization of effective extracting and rational utilization, as well as the prerequisite for exploiting the contemporary value of the traditional Chinese culture. To build an objective, integrated, and reliable classification method and a system of traditional Chinese cultural elements, this study takes the text of Taiping Imperial Encyclopedia in Northern Song Dynasty as (...) the primary data source. The unsupervised word segmentation methods are used to detect Out-of-Vocabulary, and then the segmentation results by the THULAC tool with and without custom dictionary are compared. The TF-IDF algorithm is applied to extract the keywords of cultural elements and the Ochiia coefficient is introduced to create complex networks of traditional Chinese cultural elements. After analyzing the topological characteristics of the network, the community detection algorithm is used to identify the topics of cultural elements. Finally, a “Means-Ends” two-dimensional orthogonal classification system is established to categorize the topics. The results showed that the degree distribution in the complex network of Chinese traditional cultural elements is a scale-free network with γ = 2.28. The network shows a structure of community and hierarchy features. The top 12 communities have taken up to 91.77% of the scale of the networks. Those 12 topics of the traditional Chinese cultural elements are circularly distributed in the orthogonal system of cultural elements’ categorization. (shrink)

Previous studies have focused on the relationship between imaginary companions (ICs) and children’s social developments. As far as we know, few studies have focused on the relationship between ICs and children’s agency attributions. This study aimed to explore the potential differences in agency attributions between children with and without ICs, children with egalitarian IC relationships and hierarchical IC relationships. Children’s agency attributions were measured by two experiments. One was based on behavioral cues (Random animations/ToM animations) and the other was based (...) on appearance characteristics (ball/doll). The results revealed that children with ICs attributed more cognitive properties to Random and ToM animations than children without ICs. Compared with children without ICs, children with ICs attributed marginally more biological properties to a ball and more psychological properties to a ball and a doll. However, children with egalitarian and hierarchical IC relationships did not differ in their agency attributions. The results suggest that children with ICs are more likely to attribute agencies to non-human items with behavioral cues or appearance characteristics than children without ICs. Compared with child-IC relationship qualities, IC status may be more related to children’s agency attributions. However, only a correlation between IC status and children’s agency attributions was found in this study and it is interesting for future researchers to investigate the potential causal directions between children’s IC status and their agency attributions. If one of the causal directions or both the causal directions exist, future researchers can further explore the underlying mechanism. (shrink)

The foremost aim of this research was to forecast the performance of three stock market indices using the multilayer perceptron, recurrent neural network, and autoregressive integrated moving average on historical data. Moreover, we compared the extrapolative abilities of a hybrid of ARIMA with MLP and RNN models, which are called ARIMA-MLP and ARIMA-RNN. Because of the complicated and noisy nature of financial data, we combine novel machine-learning techniques such as MLP and RNN with ARIMA model to predict the three stock (...) market data. The data used in this study are taken from the Pakistan Stock Exchange, National Stock Exchange India, and Sri Lanka Stock Exchange. In the case of Pakistan, the findings show that the ARIMA-MLP and ARIMA-RNN beat the individual ARIMA, MLP, and RNN models in terms of accuracy. Similarly, in the case of Sri Lanka and India, the hybrid models show more robustness in terms of forecasting than individual ARIMA, MLP, and RNN models based on root-mean-square error and mean absolute error. Apart from this, ARIMA-MLP outperformed the ARIMA-RNN in the case of Pakistan and India, while in the context of Sri Lanka, ARIMA-RNN beat the ARIMA-MLP in forecasting. Our findings reveal that the hybrid models can be regarded as a suitable option for financial time-series forecasting. (shrink)

Based on a 12-year bibliographic record collected from the Web of Science database, the present study aims to provide a macroscopic overview of the knowledge domain in financial decision making. A scientometric and bibliometric analysis was conducted on the literature published in the field from 2010 to 2021, using the CiteSpace software. The analysis focuses on the co-occurring categories, the geographic distributions, the vital references, the distribution of topics, as well as the research fronts and emerging trends of financial related (...) decision making. The steady increase of papers published year by year demonstrated the increasing interest on this topic at the international level. The scientometric analysis of the literature showed that financial decision, investment decision, and financing decision stood out of the crowd of the research on FDM, suggesting their important role in FDM and its research. The results of citation burst analysis predicted the focus of topics, i.e., the impact of individual differences such as financial literacy, gender and age on FDM in the coming years. Different from the traditional approach of literature review, this bibliometric analysis offers a scientometric approach to reveal the status quo and the development trend of FDM by macro and quantitative means. In addition, future research directions for the field are recommended. (shrink)

Kawasaki disease (KD) is an acute self‐limiting vasculitis with coronary complications, usually occurring in children. The incidence of KD in children is increasing year by year, mainly in East Asian countries, but relatively stably in Europe and America. Although studies on KD have been reported, the pathogenesis of KD is unknown. With the development of high‐throughput sequencing technology, growing number of regulatory noncoding RNAs (ncRNAs) including microRNA (miRNA), long noncoding RNA (lncRNA), and circular RNA (circRNA) have been identified to involved (...) in KD. However, the role of ncRNAs in KD has not been comprehensively elucidated. Therefore, it is significative to study the regulatory role of ncRNA in KD, which might help to uncover new and effective therapeutic strategies for KD. In this review, we summarize recent studies on ncRNA in KD from the perspectives of immune disorders, inflammatory disorders, and endothelial dysfunction, and highlight the potential of ncRNAs as therapeutic targets for KD. (shrink)

ObjectiveThe present study aimed to identify and analyze the bibliometric characteristics of the 100 top-cited studies on neuropsychology.MethodsWe searched the Web of Science Core Collection database to collect studies on neuropsychology from inception to 31st December 2019. Two authors independently screened the literature and extracted the data. Statistical analyses were performed using R software.ResultsThe 100 top-cited articles were cited a total of 166,123 times, ranging from 736 to 24,252 times per article. All of the studies were published from 1967 to (...) 2014 in 47 journals. Neuropsychologia had the highest number of articles, followed by Neurology. The top three most productive countries were the USA, England, and Canada. Eight authors contributed the same number of studies as the first author or corresponding author. The most productive institute was the University of California, followed by the University of Pennsylvania. Of the 100 top-cited publications, 64 were original articles, and 36 were reviews. The top three Web of Science categories were clinical neurology, behavioral sciences, and psychiatry.ConclusionThis study provides insight into the impact of neuropsychology research and may help doctors, researchers, and stakeholders to achieve a more comprehensive understanding of trends and most influential contributions to the field, thus promoting ideas for future investigation. (shrink)

In this article, an in-depth study and analysis of economic structure are carried out using a neural network fusion release algorithm. The method system defines the weight space and structure space of neural networks from the perspective of optimization theory, proposes a bionic optimization algorithm under the weight space and structure space, and establishes a neuroevolutionary method with shallow neural network and deep neural network as the research objects. In the shallow neuroevolutionary, the improved genetic algorithm based on elite heuristic (...) operation and migration strategy and the improved coyote optimization algorithm based on adaptive influence weights are proposed, and the shallow neuroevolutionary method based on IGA and the shallow neuroevolutionary method based on ICOA are applied to the weight space of backpropagation neural networks. In deep neuroevolutionary method, the structure space of convolutional neural network is proposed to solve the search space design of neural structure search, and the GA-based deep neuroevolutionary method under the structure space of convolutional neural network is proposed to solve the problem that numerous hyperparameters and network structure parameters can produce explosive combinations when designing deep learning models. The neural network fusion bionic algorithm used has the application value of exploring the spatial structure and dynamics of the socioeconomic system, improving the perception of the socioeconomic situation, and understanding the development law of society, etc. The idea is also verifiable through the present computer technology. (shrink)

In response to the big data era trend, statistics has become an indispensable part of mathematics education in junior high school. In this study, a pre-test and a post-test were developed for the six attributes of the data distribution characteristic. This research then used the cognitive diagnosis model to learn about the poorly mastered attributes and to verify whether cognitive diagnosis can be used for targeted intervention to improve students' abilities effectively. One hundred two eighth graders participated in the experiment (...) and were divided into two groups. Among them, the intervention materials read by the experimental group students only contained attributes that they could not grasp well. In contrast, the reading materials of the control group were non-targeted. The results of the study showed the following: The variance and the weighted average were poorly mastered by students in the pre-test; compared with the control group, the average test score of the experimental group was significantly improved; in terms of attributes, the experimental group students' mastery of variance and the weighted average was significantly improved than the pre-test, while the control group's mastery was not. Based on this, some teaching suggestions were put forward. (shrink)

BackgroundThe evaluation of the surgical readiness of patients plays an important role in clinical care. Preoperative readiness assessment is needed to identify the inadequacy among surgical patients, which provides guide for interventions to improve patients’ preoperative readiness. However, there is a paucity of high-level, quality tool that evaluate surgical readiness of patients in China. The purpose of this study is to translate the Preoperative Assessment of Readiness Tool into Chinese and determine the reliability and validity of the Chinese version in (...) the population of surgical patients.MethodsUsing a standard translation-backward method, the original English version of PART was translated into Chinese. A convenient sampling of 210 surgical patients was recruited from 6 hospitals in Zhejiang Province to test the psychometric properties of this scale including internal consistency, split-half reliability, content validity, structure validity, and floor/ceiling effect.ResultsA total of 194 patients completed questionnaires. The Chinese version of PART achieved Cronbach’s alphas 0.948 and McDonald’s omega coefficient 0.947, respectively, for the full scale. The estimated odd-even split-half reliability was 0.959. The scale-level content validity index was 0.867, and the items content validity index ranged from 0.83 to 1.0.The output of confirmatory factor analysis revealed a two-factor model with no floor/ceiling effect.ConclusionThe Chinese version of PART demonstrated acceptable reliability and validity among surgical patients. It can be used to evaluate patients’ preoperative preparation and help health professionals provide proper preoperative support. (shrink)

In papers in areas such as engineering and the physical sciences, figures, tables and formulae are the basic elements to communicate the authors’ core ideas, workings and results. As a computational text-matching tool, CrossCheck cannot work on these non-textual elements to detect plagiarism. Consequently, when comparing engineering or physical sciences papers, CrossCheck may return a low similarity index even when plagiarism has in fact taken place. A case of demonstrated plagiarism involving engineering papers with a low similarity index is discussed, (...) and editor’s experiences and suggestions are given on how to tackle this problem. The case shows a lack of understanding of plagiarism by some authors or editors, and illustrates the difficulty of getting some editors and publishers to take appropriate action. Consequently, authors, journal editors, and reviewers, as well as research institutions all are duty-bound not only to recognize the differences between ethical and unethical behavior in order to protect a healthy research environment, and also to maintain consistent ethical publishing standards. (shrink)

A medical intervention is a medical procedure or application intended to relieve or prevent illness or injury. Examples of medical interventions include vaccination and drug administration. After a medical intervention, adverse events (AEs) may occur which lie outside the intended consequences of the intervention. The representation and analysis of AEs are critical to the improvement of public health. Description: The Ontology of Adverse Events (OAE), previously named Adverse Event Ontology (AEO), is a community-driven ontology developed to standardize and integrate data (...) relating to AEs arising subsequent to medical interventions, as well as to support computer-assisted reasoning. OAE has over 3,000 terms with unique identifiers, including terms imported from existing ontologies and more than 1,800 OAE-specific terms. In OAE, the term ‘adverse event’ denotes a pathological bodily process in a patient that occurs after a medical intervention. Causal adverse events are defined by OAE as those events that are causal consequences of a medical intervention. OAE represents various adverse events based on patient anatomic regions and clinical outcomes, including symptoms, signs, and abnormal processes. OAE has been used in the analysis of several different sorts of vaccine and drug adverse event data. (shrink)

As of the end of October 2020, the cumulative number of confirmed cases of COVID-19 has exceeded 45 million and the cumulative number of deaths has exceeded 1.1 million all over the world. Faced with the fatal pandemic, countries around the world have taken various prevention and control measures. One of the important issues in epidemic prevention and control is the assessment of the prevention and control effectiveness. Changes in the time series of daily new confirmed cases can reflect the (...) impact of policies in certain regions. In this paper, a smooth transition autoregressive model is applied to investigate the intrinsic changes during the epidemic in certain countries and regions. In order to quantitatively evaluate the influence of the epidemic control measures, the sequence is fitted to the STAR model; then, comparisons between the dates of transition points and those of releasing certain policies are applied. Our model well fits the data. Moreover, the nonlinear smooth function within the STAR model reveals that the implementation of prevention and control policies is effective in some regions with different speeds. However, the ineffectiveness is also revealed and the threat of a second wave had already emerged. (shrink)